Clustered 2 filings across 1 jurisdiction · filed Jul 17, 2025. View entity profile → Other incidents for this victim →
incident inc_d76f62ed71a547af · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster; needs two dated filings.
Health (basic)
SC
HHS OCR · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Jul 5, 2024 → Jul 11, 2024
When the intrusion reportedly occurred, per the linked filings
Jul 11, 2024
Reported by SOUTH CAROLINA AG filing
Self Regional Healthcare (Greenwood, SC) reported to HHS OCR on 2025-07-17 a Hacking/IT Incident affecting 26,696 individuals. Breached information was located on a Network Server. A business associate was present. No further detail was provided in the HHS web description.
Affected (this filing): 26,696
Self Regional Healthcare (SRH) notified affected individuals that Nationwide Recovery Services (NRS), a former debt collection vendor, experienced unauthorized access to its network in July 2024. Files containing patient data from 2012-2013 were copied. Data exposed includes names, DOBs, SSNs, diagnoses, and medical info. NRS discovered the breach on July 11, 2024. SRH is offering 12 months of IDX identity protection.
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.